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Fig. 2 | BMC Cancer

Fig. 2

From: A nomogram based on A-to-I RNA editing predicting overall survival of patients with lung squamous carcinoma

Fig. 2

Associations between the ATIRE risk score and prognosis of LUSC patients. A-D Distribution of the ATIRE risk score, survival status, and editing levels of the 7 ATIRE sites in the training set (A) and validation set (C), and Kaplan–Meier plots to visualize the survival probabilities grouped by risk score in the training set (B) and validation set (D). P values were calculated by the log-rank test. E Stratification analysis of association between the ATIRE risk score and LUSC OS in different sub-groups with regarding to clinicopathological features. F, G Associations between the ATIRE risk score and progression-free survival in the training (F) and validation sets (G). P values were calculated by the log-rank test. H-J Differences of the ATIRE risk score among patients with different clinical stages (H), T stages (I), and N stages (J). P values were calculated by the one-way ANOVA test. K Correlation between the ATIRE risk score and age at diagnosis of LUSC patients. P value was calculated by the Spearman rank correlation test

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